Computational Engineering Researcher (Task Author)

AfterQuery; Australia; Remote; AUD 227,000 - 324,000; Full time

Job summary

AfterQuery invites researchers to turn their own computational work into evaluated tasks for AI models. Suitable for Bachelor’s up to PhD levels in engineering with a computational focus.

Tasks include a main problem, sub problems, a Python reference solution, and tests; pay is per approved task and tasks go through a review process. Applicants should have hands-on coding experience, familiarity with Python, and be able to work as independent contractors without visa sponsorship.

Qualifications

• Hands-on experience writing your own code, preferably Python
• Experience implementing or validating engineering models and solvers
• Able to turn research into well-specified tasks with a reference solution and tests

Responsibilities

• Design and author original research-grade evaluation tasks based on your own computational work
• Specify the metrics a strong solution should be judged by, without publishing the exact passing thresholds
• Revise tasks based on structured review feedback until they're approved
• Optionally review and calibrate tasks submitted by other experts in your domain

Skills

Python

Education

Bachelor's student

Master's/PhD student

Postdoc

Recent graduate

Tools

ANSYS

COMSOL

Abaqus

Job description

Turn computational work from your own engineering research into paid evaluation tasks for AI models. Open to research-track Bachelor's students, Master's and PhD students, postdocs, and recent graduates. AfterQuery is building a network of researchers to author and validate research-grade scientific-computing tasks for AI models. A strong task is a real piece of computational work from your own research, something you've actually run and debugged: a finite‑element or CFD solver, a reaction‑engineering model, a physiological model, or a structural or electromagnetic simulation you implemented and validated. Each task has a main problem, a few connected sub problems, a Python reference solution, and tests that check the result. The difficulty should come from the engineering science itself, not from withheld information. We're looking for researchers in: computational mechanics and finite‑element methods; computational fluid dynamics; aerospace numerical modeling; chemical and reaction engineering; biomedical and physiological modeling; civil and structural computational mechanics; environmental modeling; and computational electromagnetics.

Requirements

Education: A Bachelor's student on a research track or with research experience (such as an REU, a thesis, or an RA or lab role), a Master's or PhD student, a postdoc, or a recent graduate in mechanical, aerospace, chemical, biomedical, civil, environmental, or electrical engineering with a computational focus.

Technical: Hands‑on experience writing your own code, preferably Python, to implement or validate engineering models and solvers. Using commercial software (such as ANSYS, COMSOL, or Abaqus) without your own code isn’t enough. Work authorization: Must be able to work as an independent contractor without visa sponsorship. Students on F-1 visas (including OPT/CPT) are not eligible.

Contract and pay

Flexible, independent‑contractor work: $200 per approved task, about 2 hours each, with no cap on how many tasks you take on. Tasks go through review, and you may also review other experts’ tasks against a short rubric. All accepted experts undergo standard background and identity verification.

Responsibilities

• Design and author original research‑grade evaluation tasks based on your own computational work
• Specify the metrics a strong solution should be judged by, without publishing the exact passing thresholds
• Revise tasks based on structured review feedback until they're approved
• Optionally review and calibrate tasks submitted by other experts in your domain

Required Qualifications

• Bachelor's student on a research track or with research experience, Master's or PhD student, postdoc, or recent graduate in mechanical, aerospace, chemical, biomedical, civil, environmental, or electrical engineering with a computational focus
• Has written their own code, preferably in Python, to implement or validate engineering models and solvers
• Able to turn your own computational research into a well‑specified task with a reference solution and testsAble to work independently and manage your own time. This is flexible, task‑based work with no fixed weekly schedule

Preferred Qualifications

• Research experience developing finite‑element, CFD, or other numerical solvers
• Public code, a thesis, or papers that show your computational work
• Prior experience in data annotation, data labeling, or AI/ML evaluation work

Why apply

• Work on your own schedule: task-based, not a fixed hourly commitment
• Contribute directly to how AI models are evaluated on real, expert‑level scientific work
• Paid, flexible work: $200 per approved task (about 2 hours each), no cap on how many you take on